Automated Mosquito ID to Support Timely Decision-Making

自动蚊子识别支持及时决策

• 批准号: 6587123
• 负责人: AGENOR MAFRA-NETO
• 金额: $ 10万
• 依托单位: ISCA TECHNOLOGIES, INC.
• 依托单位国家: 美国
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-05-15 至 2004-12-15
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6587123
• 关键词: Culicidae; Internet; animal population density; arthropod nonpollutant control; biomedical automation; biomedical equipment development; biotechnology; computer system design /evaluation; data collection methodology /evaluation; insect control; monitoring device; sample collection

DESCRIPTION (provided by applicant): Mosquito-borne diseases are spreading worldwide. The monitoring of mosquito populations is an essential element in risk assessment of disease transmission. When monitoring, valuable time is often lost and accuracy compromised due to a series of procedural bottlenecks. The problem lies in the labor-intensive task of processing the trap-catch (mosquito identification and sexing) tabulating the data, and reporting the information to the proper individuals. Through the development of an automated arthropod identification device (AID), ISCA Technologies proposes to overcome these bottlenecks in information flow and issues of accuracy to support on-time decision-making. Our preliminary data indicate that it is feasible to positively identify flying mosquitoes to species and gender in a fractions of seconds. ISCA will develop a device that records and stores trap-catch data (quantity and identification of mosquitoes caught in monitoring traps with the time and date stamp), which will through a series of steps, be processed in one central location to generate concise reports for decision-makers. Automation will not only provide instantaneous estimates of mosquito population dynamics, allowing for timely decision-making, it will allow for a more frequent sampling of the population to discern whether the population is growing or dwindling in size. This type of information will ultimately increase the efficacy of mosquito abatement programs both in time and space. The successful development of a reliable, yet affordable, field device which automatically identifies and quantifies mosquito trap-catch data will make great strides in advancing the techniques currently used to monitor mosquito populations. Combine this proposed technology together with capabilities already provided by our company (wirelessly integrating trap-catch data to an automated internet support system) and the practice of vector control will be transformed to a new level of understanding providing a solid basis for the development of new, more effective, vector control standards. The merging of "instantaneous" trap-catch data with an artificial neural network and GIS capabilities provided by our servers will yield up-to-date concise easy-to-read reports designed for the decision makers. This type of "up to the minute reporting" will serve decision makers like a "Doppler radar', creating a new niche in the worldwide field of vector control.

描述（由申请人提供）：蚊子传播的疾病正在全球传播。蚊子种群的监测是疾病传播风险评估的重要因素。当监视时，由于一系列程序性瓶颈而导致的宝贵时间通常会浪费，准确性会损害。问题在于处理陷阱捕获（蚊子识别和性别）的劳动密集型任务，并将信息报告给适当的个人。通过开发自动节肢动物识别设备（AID），ISCA Technologies提议在信息流中克服这些瓶颈以及支持准时决策的准确性问题。我们的初步数据表明，可以在几秒钟内积极地识别出将蚊子积极地识别为物种和性别的可行性。 ISCA将开发一种记录和存储陷阱捕获数据的设备（用时间和日期邮票监视陷阱中捕获的蚊子的数量和识别），该蚊子将通过一系列步骤在一个中心位置进行处理，以生成决策者的简洁报告。自动化不仅将提供蚊子种群动态的瞬时估计，从而允许及时决策，还可以更频繁地对种群进行采样，以辨别人口是在增长还是在规模上增加。这种类型的信息最终将在时间和空间上提高蚊子减排计划的功效。成功开发了可靠但负担得起的现场设备，该设备自动识别和量化了蚊子陷阱捕获数据，将在推进目前用于监测蚊子种群的技术方面取得了长足的进步。将该提出的技术与我们公司已经提供的功能（将陷阱捕集数据无线集成到自动化的互联网支持系统）结合在一起，并且向量控制的实践将转变为新的理解水平，从而为开发新的，更有效的，更有效的矢量控制标准提供了可靠的基础。将“瞬时”陷阱捕集数据与我们的服务器提供的人工神经网络和GIS功能合并将产生最新的简洁简洁易于阅读的报告。这种类型的“直至分钟报告”将为“多普勒雷达”等决策者提供服务，并在矢量控制的全球领域创建一个新的利基市场。